A carregar...
Publicação
The Impact of Natural Language Processing in Disaster Management: A Systematic Literature Review
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.49 MB | Adobe PDF |
Orientador(es)
Resumo(s)
In an era where undeniably large amounts of data are produced at an unprecedented rate by a broad variety of sources, artificial intelligence and, more specifically, natural language processing present interesting solutions to today’s complex challenges. When properly implemented, natural language processing may play an essential role in all phases of the disaster management cycle by delivering timely and reliable information, optimizing resources and logistics, and assisting in reducing the effect that both natural and man-made disasters have on society. This paper presents a systematic literature review that aims to (1) identify the range of natural language processing methods used in disaster management, (2) explore the main challenges and opportunities in disaster management when using natural language processing, and (3) determine how this field impacts the four phases of disaster as well as the nature of such impact. The data was gathered using Scopus database and, with the help of Zotero citation manager tool, filtered by full-text peer-reviewed quartile 1 journal articles written in English and published between 2014 and 2023. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, this review is based on 107 articles selected out of 548 search results obtained in February 2024. The findings indicate that social media and sentiment analysis have had an exponential growth in applications and importance within the field of disaster management. We analyze the current academic literature on the link between natural language processing and disaster management, identifying research gaps and potential for future research.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
Palavras-chave
Natural language processing Disaster management Impact Systematic literature review PRISMA SDG 1 - No poverty SDG 13 - Climate action